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3 main principles of data management

As already mentioned in a previous post about enterprise data management,

Information reveals data as the most valuable asset of an organization. It has the power to make your business unique.

To do their work on a daily basis, the « business » stakeholders rely on data. These are also the basis of decision-making for the company managers. However, the unavailability of the data results in an immediate operating loss, the financial amount of which may be very significant. In other words, data is a vital resource for the proper functioning of the enterprise.

We can therefore identify 3 main principles that are inseparable from data management :

Understand in order to ACT

Data and access to them form an « ecosystem » of which it is essential to understand the interactions at the risk of weakening or even destroying the balance in computer applications. This approach is the only one that guarantees the harmonious maintenance of data and programs, whatever the field of activity of the company : finance, insurance, industry, administration, trade, service…

To this effect, the solution is to systematically integrate functionalities in order to understand the existing. When required, the level of this understanding before intervention goes from the simple identification of the data role in the ecosystem to the comprehensive inventory of all interactions between programs and data. Taking into account the « programs-data » interactions, it will specially allow the joint agility of programs and data to meet the needs of application evolution.

Master in order to PROTECT

The « technical » interventions (development, maintenance, migration, extraction…) all present, to varying degrees, « data » risks which can be classified in three main categories :

the regulatory risks : privacy, Bâle II, Sarbane & Oaxley, GDPR… Failure to comply with those rules may lead to the criminal responsibility of the entrepreneur, who may be financially sanctioned with fines

the risks associated with data loss : the forgetting of data is by definition difficult to timely identify and the reconstruction costs can subsequently become colossal

the risks associated with inconsistencies cause malfunctions in the enterprise and their costs are complex to measure, their consequences are often unexpected for the enterprise but also for the clients, providers or further partners

To cut the data risks, you have to :

trace the data and their uses by the programs

protect the data confidentiality

compare data before and after any interventions : these comparisons allow you to make sure that every data concerned by the intervention is properly treated on the one hand, and that the initial data consistency has been correctly maintained during the intervention on the other hand

Optimize in order to WIN

The triple aspect « agility, industrialization, security » allows you to complete your projects on time and on budget :

by reducing workloads

by diminishing the completion deadlines

by guaranteeing the conformity of the intended results

The essential contributions of this solution are, among other things :

an acceleration of data projects

an increase of the quality of the Information Systems

a drastic reduction of the number of « data » malfunctions and cost thereof

Liberate and master all of your data

DataSemantics supports you in taking back control of all of your data. The reverse engineering technology at the heart of the tool drastically speeds up a variety of data projects. The software liberates known and unknown data and makes them accessible to information systems. It enables organisations to fully master information assets, limit risks and make better strategic decisions.